EP2624184A3 - Classifying data using machine learning - Google Patents

Classifying data using machine learning Download PDF

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Publication number
EP2624184A3
EP2624184A3 EP13153354.9A EP13153354A EP2624184A3 EP 2624184 A3 EP2624184 A3 EP 2624184A3 EP 13153354 A EP13153354 A EP 13153354A EP 2624184 A3 EP2624184 A3 EP 2624184A3
Authority
EP
European Patent Office
Prior art keywords
commodity
nodes
terms
computing system
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
EP13153354.9A
Other languages
German (de)
French (fr)
Other versions
EP2624184A2 (en
Inventor
Sherif Botros
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Business Objects Software Ltd
Original Assignee
Business Objects Software Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Business Objects Software Ltd filed Critical Business Objects Software Ltd
Publication of EP2624184A2 publication Critical patent/EP2624184A2/en
Publication of EP2624184A3 publication Critical patent/EP2624184A3/en
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/285—Clustering or classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • Quality & Reliability (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Operations Research (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Techniques for data classification include receiving, at a local computing system, a query from a remote computing system, the query comprising data associated with a commodity, the data comprising one or more attributes of the commodity; matching the one or more attributes of the commodity with one or more terms of a plurality of terms in a word matrix that includes a plurality of nodes that each include a term of the plurality of terms and a plurality of links that each connect two or more nodes and define a similarity between the two or more nodes; generating, based on the matching, a numerical vector for the business enterprise commodity; identifying one or more classification regions that each define a classification of the commodity; and preparing the classifications for display at the remote computing system.
EP13153354.9A 2012-01-31 2013-01-30 Classifying data using machine learning Ceased EP2624184A3 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US13/362,598 US8498986B1 (en) 2012-01-31 2012-01-31 Classifying data using machine learning

Publications (2)

Publication Number Publication Date
EP2624184A2 EP2624184A2 (en) 2013-08-07
EP2624184A3 true EP2624184A3 (en) 2013-10-16

Family

ID=47826840

Family Applications (1)

Application Number Title Priority Date Filing Date
EP13153354.9A Ceased EP2624184A3 (en) 2012-01-31 2013-01-30 Classifying data using machine learning

Country Status (2)

Country Link
US (2) US8498986B1 (en)
EP (1) EP2624184A3 (en)

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US8498986B1 (en) * 2012-01-31 2013-07-30 Business Objects Software Ltd. Classifying data using machine learning
US9612830B2 (en) * 2012-02-10 2017-04-04 International Business Machines Corporation Discovering work-item relations through full text and standard method analysis
CN104737187A (en) * 2012-08-31 2015-06-24 邓白氏公司 System and process of associating import and/or export data with a corporate identifier
US9037464B1 (en) * 2013-01-15 2015-05-19 Google Inc. Computing numeric representations of words in a high-dimensional space
CN105893363A (en) * 2014-09-26 2016-08-24 北大方正集团有限公司 A method and a system for acquiring relevant knowledge points of a knowledge point
US10325212B1 (en) 2015-03-24 2019-06-18 InsideView Technologies, Inc. Predictive intelligent softbots on the cloud
CN104680861B (en) * 2015-03-31 2017-02-01 佛山市金蓝领教育科技有限公司 Internet atomic word touch learning machine
US10885463B2 (en) 2016-07-08 2021-01-05 Microsoft Technology Licensing, Llc Metadata-driven machine learning for systems
CN110019831B (en) * 2017-09-29 2021-09-07 北京国双科技有限公司 Product attribute analysis method and device
US20190130027A1 (en) 2017-11-02 2019-05-02 International Business Machines Corporation Data classification
KR102495702B1 (en) 2017-11-28 2023-02-06 삼성전자주식회사 Server and the control method thereof
CN110858219A (en) * 2018-08-17 2020-03-03 菜鸟智能物流控股有限公司 Logistics object information processing method and device and computer system
US11087088B2 (en) * 2018-09-25 2021-08-10 Accenture Global Solutions Limited Automated and optimal encoding of text data features for machine learning models
CN110968685B (en) * 2018-09-26 2023-06-20 阿里巴巴集团控股有限公司 Commodity name collection method and device
US11650987B2 (en) * 2019-01-02 2023-05-16 International Business Machines Corporation Query response using semantically similar database records
US11195054B2 (en) 2019-11-11 2021-12-07 Sap Se Automated determination of material identifiers for materials using machine learning models
CN111062198A (en) * 2019-12-10 2020-04-24 重庆撼地大数据有限公司 Big data-based enterprise category analysis method and related equipment
CN111353002B (en) * 2020-02-03 2024-05-03 中国人民解放军国防科技大学 Training method and device for network representation learning model, electronic equipment and medium
CN111488458B (en) * 2020-04-13 2023-04-11 上海朗曦信息技术有限公司 Automatic recognition processing method and system for international trade commodity codes
US11693637B1 (en) * 2020-05-15 2023-07-04 Google Llc Using natural language latent representation in automated conversion of source code from base programming language to target programming language
US11941497B2 (en) * 2020-09-30 2024-03-26 Alteryx, Inc. System and method of operationalizing automated feature engineering
CN113128592B (en) * 2021-04-20 2022-10-18 重庆邮电大学 Medical instrument identification analysis method and system for isomerism and storage medium
US11941357B2 (en) 2021-06-23 2024-03-26 Optum Technology, Inc. Machine learning techniques for word-based text similarity determinations
CN113342984A (en) * 2021-07-05 2021-09-03 深圳云谷星辰信息技术有限公司 Garden enterprise classification method and system, intelligent terminal and storage medium
US11989240B2 (en) 2022-06-22 2024-05-21 Optum Services (Ireland) Limited Natural language processing machine learning frameworks trained using multi-task training routines

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US7809672B1 (en) * 2001-06-28 2010-10-05 I2 Technologies Us, Inc. Association of data with a product classification schema
US20110302167A1 (en) * 2010-06-03 2011-12-08 Retrevo Inc. Systems, Methods and Computer Program Products for Processing Accessory Information

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US7231393B1 (en) * 2003-09-30 2007-06-12 Google, Inc. Method and apparatus for learning a probabilistic generative model for text
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US8489603B1 (en) * 2009-10-23 2013-07-16 Amazon Europe Holdings Technologies Scs Automatic item categorizer
US8498986B1 (en) * 2012-01-31 2013-07-30 Business Objects Software Ltd. Classifying data using machine learning

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7809672B1 (en) * 2001-06-28 2010-10-05 I2 Technologies Us, Inc. Association of data with a product classification schema
US20110302167A1 (en) * 2010-06-03 2011-12-08 Retrevo Inc. Systems, Methods and Computer Program Products for Processing Accessory Information

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
LEE ET AL: "Building an operational product ontology system", ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, ELSEVIER, AMSTERDAM, NL, vol. 5, no. 1, 1 April 2006 (2006-04-01), pages 16 - 28, XP005428913, ISSN: 1567-4223, DOI: 10.1016/J.ELERAP.2005.08.005 *

Also Published As

Publication number Publication date
US20130198187A1 (en) 2013-08-01
EP2624184A2 (en) 2013-08-07
US8498986B1 (en) 2013-07-30
US9171057B2 (en) 2015-10-27
US20130304740A1 (en) 2013-11-14

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